Hello, Could I have a step-by-step explanation to solve this exercise ?

On April 1, 2014, Able Co borrows $200,000 for four years from the Toy Company to obtain funds to buy a piece of commercial property. As collateral, Able Co. gives Toy Company a mortgage on the manufacturing plant that it owns and that are on its books at a cost of $50,000. Interest is charged on the unpaid balance of the loan principal at an interest rate of 4 percent per year compounded semiannually. Payments are due on April 1 and October 1 of each year. Able co agrees to make eight payments over the four years of the mortgage so that when the last payment is made on April 1, 2018, the loan and all interest will have been paid. The first seven payments are to be equal. The eighth payment is to be just large enough to discharge the balance of the loan. Able Co. closes its books annually on December 31 and uses the effective interest method.

Each equal payment from October 2014 to October 2018 is equal to (round to the nearest hundred):

a)$52,500

b) $22,300

c) $22,200

d)$27,300

e)None of the other alternatives are correct / Not enough data provided to calculate it

Consider the following financial statement information for the Mediate Corporation: Item Beginning Ending Inventory $ 8,413 $ 9.423 Accounts receivable 5,108 5,721 Accounts payable 6,927 7.758 Credit sales $ 75,389 Cost of goods sold 52.827 Required: (a) Calculate the operating cycles. (Do not round your intermediate calculations.) (Click to select) + (b) Calculate the cash cycle. (Do not round your intermediate calculations.) (Click to select) +9. A difference between Pearson correlation and Spearman correlation is that Pearson correlation a. has assumptions the data should meet b. requires larger sample size C. operates on ranks of the data d. produces unreliable results e. is amenable to multiple comparisons f. is more mathematically rigorous g. makes many passes through the data h. none of the above 10. Suppose a correlation is calculated when only a limited range of the possible values on the y variable, is present in the x, y data set. Therefore the correlation result cannot be extended to apply to the entire range of x, y values that might exist among the subjects (the statistical population)- a, optimal experimental design This situation is called b. restriction of range c. sample size too large d. x,y subgroup merger e. clusters of outliers f. rarefaction g. random sampling effect h. none of the above 11. In correlation it's wise to consider statistical power for which of the following reasons? a. to examine relations among sample size, effect size, sidedness, alpha, power b, to understand why results that are not significant may still be important C. to determine the number of subjects to use in an experiment d, to make sense of biological findings in the scientific literature e. all of the above 12. In a two-sided correlation test, p = 0.06 In a one-sided correlation test on the same x, y data, p a. 0.001 b. 0,05 C. 0.03 d. 0.002 e. 0.10 f. none of the above 13. When there's no statistically significant correlation, the computed correlation coefficient is around a. zero b. - 0.9 C. + 0.8 d. + 1.0 e. - 1.01. Which one of the following pairs is mismatched? a. Bayesian -- prior probability b. bootstrap = sample with replacement C. Bayesian -- credible interval d. Bayesian -- posterior probability e. Monte Carlo - data simulation f. random variables -- Pearson correlation g. permutation -- sample with replacement h. none of the above 2. Which among the alternatives below, best describes the x, y data in the graph. a, strong negative correlation b. a nonlinear relationship C. no correlation present d. weak positive correlation e. strong positive comelation f. weak negative correlation g. none of the above 3. Which of the following is true about the bivariate normal probability distribution? a. it's a univariate probability distribution b, it's identical to the normal distribution c. it's an assumption of Pearson r method d. it's an assumption of Spearman r method 4. In testing Pearson r for statistical significance, we use the a. non-central F distribution b. Normal distribution c. chi-square distribution d. t-distribution e. bivariate normal distribution 5. Which of the following influences the statistical power of a correlation test a. sample size b. sidedness of test c. alpha d. the chosen, correlation method e. all of the above